MétaCan
Menu
Back to cohort
Record W3090654250 · doi:10.1016/j.xjtc.2020.09.033

Commentary: Early failure of the Trifecta GT bioprosthesis: Innovation is not always progress

2020· editorial· en· W3090654250 on OpenAlexafffund
Jean Porterie, Dimitri Kalavrouziotis, Siamak Mohammadi

Bibliographic record

VenueJTCVS Techniques · 2020
Typeeditorial
Languageen
FieldMedicine
TopicCardiac Valve Diseases and Treatments
Canadian institutionsUniversité Laval
FundersInstitut universitaire de cardiologie et de pneumologie de Québec, Université LavalEdwards Lifesciences
KeywordsEconomics

Abstract

fetched live from OpenAlex

Structural valve degeneration (SVD) is a major disadvantage of surgical aortic valve replacement (AVR) with a bioprosthesis. A recent single-center series demonstrated that the Trifecta valve (Abbott Vascular, Santa Clara, Calif) can be safely implanted in the aortic position with excellent hemodynamics and midterm durability,1 whereas others have shown unusually high early SVD rates with this prosthesis.2 The newer-generation Trifecta with Glide Technology (GT) was designed to improve these results, using novel antileaflet calcification and anti-support strut distortion technology.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0030.007
Open science0.0060.002
Research integrity0.0490.051
Insufficient payload (model declined to judge)0.0120.012

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.324
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueJTCVS TechniquesSame topicCardiac Valve Diseases and TreatmentsFrench-language works237,207